Cover Image

How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income

This research is an investigative study pertaining on how the North-South Expressway (NSE) traffic volume patterns were influence by sosio-economics factors/attributes/parameters/income. It also addresses current problems and issues associated with the expressway based on its population and developm...

Full description

Saved in:
Bibliographic Details
Main Author: Izzati Akhtar Binti Hasan
Format: text::Thesis
Language:English
Published: 2023
Subjects:
Traffic surveys_Malaysia
Road_surveying_Malaysia
Traffic flow_Malaysia
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-21022
record_format dspace
spelling my.uniten.dspace-210222023-05-04T14:45:24Z How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income Izzati Akhtar Binti Hasan Traffic surveys_Malaysia Road_surveying_Malaysia Traffic flow_Malaysia This research is an investigative study pertaining on how the North-South Expressway (NSE) traffic volume patterns were influence by sosio-economics factors/attributes/parameters/income. It also addresses current problems and issues associated with the expressway based on its population and development aspects. 2023-05-03T15:47:03Z 2023-05-03T15:47:03Z 2005 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/21022 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Traffic surveys_Malaysia
Road_surveying_Malaysia
Traffic flow_Malaysia
spellingShingle Traffic surveys_Malaysia
Road_surveying_Malaysia
Traffic flow_Malaysia
Izzati Akhtar Binti Hasan
How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income
description This research is an investigative study pertaining on how the North-South Expressway (NSE) traffic volume patterns were influence by sosio-economics factors/attributes/parameters/income. It also addresses current problems and issues associated with the expressway based on its population and development aspects.
format Resource Types::text::Thesis
author Izzati Akhtar Binti Hasan
author_facet Izzati Akhtar Binti Hasan
author_sort Izzati Akhtar Binti Hasan
title How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income
title_short How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income
title_full How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income
title_fullStr How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income
title_full_unstemmed How the North-South Expressway traffic volume pattern (population, employment, growth domestic product (GDP) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income
title_sort how the north-south expressway traffic volume pattern (population, employment, growth domestic product (gdp) and vehicle ownership) were influence by sosio-economics factors/attributes/parameters/income
publishDate 2023
_version_ 1806424301782433792
score 13.211869

Similar Items